AMiner MCP Server

AMiner MCP Server

Enables academic paper search and analysis through the AMiner API. Supports keyword, author, and venue-based searches with advanced filtering and citation data for research assistance.

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README

AMiner MCP 服务器

语言 / Language: 🇨🇳 中文 | 🇺🇸 English

基于模型上下文协议(MCP)的服务器,通过 AMiner API 提供强大的学术论文搜索和分析功能。

🌟 功能特性

🔍 搜索工具

  • 关键词搜索 (search_papers_by_keyword) - 通过关键词搜索论文
  • 期刊搜索 (search_papers_by_venue) - 搜索特定期刊/会议的论文
  • 作者搜索 (search_papers_by_author) - 搜索特定作者的论文
  • 高级搜索 (search_papers_advanced) - 多条件组合搜索

🤖 AI 助手

  • 论文搜索助手 (paper_search_assistant) - 学术研究辅助的 AI 提示模板

⚙️ 搜索选项

  • 分页支持(页码、每页数量)
  • 排序选项(按年份或引用数)
  • 详细论文信息展示
  • 专业学术格式的英文界面

🔧 MCP 客户端配置

添加到您的 MCP 客户端配置文件:

{
  "mcpServers": {
    "aminer": {
      "command": "npx",
      "args": ["-y", "@scipen/aminer-mcp-server"],
      "env": {
        "AMINER_API_KEY": "YOUR_AMINER_API_KEY"
      }
    }
  }
}

🚀 手动运行

# 设置您的 AMiner API 密钥:
export AMINER_API_KEY="your_aminer_api_key_here"
# 使用 npx 启动
npx -y @scipen/aminer-mcp-server

📚 工具列表

search_papers_by_keyword

通过关键词搜索学术论文。

参数:

  • keyword (字符串,必需): 搜索关键词
  • page (数字,可选): 页码,默认 0
  • size (数字,可选): 每页论文数,默认 10,最大 10
  • order (字符串,可选): 排序方式:'year' 或 'n_citation'

示例:

{
  "keyword": "深度学习",
  "page": 0,
  "size": 5,
  "order": "n_citation"
}

search_papers_by_venue

搜索特定期刊/会议发表的论文。

参数:

  • venue (字符串,必需): 期刊/会议名称
  • page (数字,可选): 页码,默认 0
  • size (数字,可选): 每页论文数,默认 10,最大 10
  • order (字符串,可选): 排序方式:'year' 或 'n_citation'

示例:

{
  "venue": "Nature",
  "page": 0,
  "size": 10,
  "order": "year"
}

search_papers_by_author

搜索特定作者发表的论文。

参数:

  • author (字符串,必需): 作者姓名
  • page (数字,可选): 页码,默认 0
  • size (数字,可选): 每页论文数,默认 10,最大 10
  • order (字符串,可选): 排序方式:'year' 或 'n_citation'

示例:

{
  "author": "Geoffrey Hinton",
  "page": 0,
  "size": 10
}

search_papers_advanced

支持多条件的高级搜索。

参数:

  • keyword (字符串,可选): 搜索关键词
  • venue (字符串,可选): 期刊/会议名称
  • author (字符串,可选): 作者姓名
  • page (数字,可选): 页码,默认 0
  • size (数字,可选): 每页论文数,默认 10,最大 10
  • order (字符串,可选): 排序方式:'year' 或 'n_citation'

注意: 必须提供 keyword、venue 或 author 中的至少一个。

示例:

{
  "keyword": "自然语言处理",
  "author": "Yann LeCun",
  "page": 0,
  "size": 5,
  "order": "n_citation"
}

🎯 提示模板

paper_search_assistant

学术研究的 AI 助手提示模板。

参数:

  • research_topic (字符串,必需): 研究主题或领域
  • search_focus (字符串,可选): 搜索重点
    • recent: 关注最新论文
    • highly_cited: 关注高引用论文
    • comprehensive: 平衡搜索(默认)

示例:

{
  "research_topic": "计算机视觉中的注意力机制",
  "search_focus": "highly_cited"
}

🛠️ 开发

项目结构

src/
├── index.ts          # 主服务器文件
├── aminer-client.ts  # AMiner API 客户端
└── types.ts          # 类型定义

可用脚本

  • pnpm run build - 构建项目
  • pnpm run start - 启动服务
  • pnpm run dev - 开发模式
  • pnpm run lint - 代码检查
  • pnpm test - 运行测试

技术栈

  • 运行时: Node.js 18+
  • 语言: TypeScript
  • 框架: Model Context Protocol SDK
  • 包管理器: pnpm
  • API: AMiner 开放平台 API
  • 协议: JSON-RPC 2.0 (MCP)

📄 许可证

MIT 许可证

🤝 贡献

欢迎提交 Issues 和 Pull Requests!

📞 支持

如有问题和支持需求, 请添加小助手的企业微信:

<img src="qrcode.jpg" alt="企业微信二维码" width="200" />

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